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Statistics in Medicine
Article . 2011 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Effective reproduction numbers are commonly overestimated early in a disease outbreak

Authors: Mercer, Geoffry; Glass, Kathryn; Becker, Niels;

Effective reproduction numbers are commonly overestimated early in a disease outbreak

Abstract

AbstractReproduction numbers estimated from disease incidence data can give public health authorities valuable information about the progression and likely size of a disease outbreak. Here, we show that methods for estimating effective reproduction numbers commonly give overestimates early in an outbreak. This is due to many factors including the nature of outbreaks that are used for estimation, incorrectly accounting for imported cases and outbreaks arising in subpopulations with higher transmission rates. Awareness of this bias is necessary to correctly interpret estimates from early disease outbreak data. Copyright © 2011 John Wiley & Sons, Ltd.

Country
Australia
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Keywords

population size, Reproduction number, probability, epidemiological data, Basic Reproduction Number, Basic Reproduct Bias, 310, epidemic, systematic error, Disease Outbreaks, effective reproduction number, Influenza A Virus, H1N1 Subtype, Influenza, Human, Humans, awareness, controlled study, Computer Simulation, calculation, disease transmission, Incidence, article, Importation, Influenza, health survey, Data Interpretation, Statistical, Epidemiologic Methods, mathematical model, Keywords: 2009 H1N1 influenza

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
Green